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GitHub topics: ppo-algo

dfoshidero/RLModels-Doom_CartPole

Collection of Reinforcement Learning models for training in the VizDoom and CartPole environments. Developed by Group 2 for the University of Bath's CM50270 module, exploring advanced strategies for models navigating complex situations.

Language: Jupyter Notebook - Size: 504 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

georkara/Chargym-Charging-Station

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

Language: Python - Size: 2.56 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 70 - Forks: 18

CherryPieSexy/imitation_learning

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Language: Python - Size: 34.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 118 - Forks: 14

c2d08y/LearningBot

A deep reinforcement learning Bot for https://kana.byha.top:444/

Language: Python - Size: 126 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

nowraiz/rung-rl

Some (not so) naive RL agents for Rung

Language: Python - Size: 29.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

MatteoStoisa/AutonomousLunarLander-DeepReinforcementLearningForControlApplication

Master's degree thesis in Computer Science Engineering in collaboration with AIKO company

Size: 4.19 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0